BOOK (slide)

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PROPEL presented at the KESW Conference in Prague

Axel Polleres presented interim results of the PROPEL roadmap study at the KESW 2016 conference in Prague. In his talk, he discussed gaps and challenges to deploy the ideas of Linked Data and the Semantic Web, from an Enterprise point of view. KESW is a top international event dedicated to discussing research results and directions in the areas related to Knowledge Representation and Reasoning, Semantic Web, and Linked Data. Its aim is to bring together researchers, practitioners, and educators, in particular from ex-USSR, Eastern and Northern Europe, to present and share ideas regarding...

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Full house @ Roadmap presentation

High interest was shown to the final presentation of the PROPEL Report and Roadmap by 54 visitors at a special edition of the XXVIII Semantic Web Meetup in Vienna. The chapter wise presentation by Sabrina Kirrane (WU, Privacy and Sustainable Computing Lab), Julia Neuschmidt (IDC Austria), Elmar Kiesling (TU, Linked Data Lab), Thomas Thurner (SWC + School of Data) gave insights into detailed findings and the overall recommendations derived from them.  This show was followed by a flash insight into the new started Data Market Austria project by Mihai Lupu (Researchstudios Austria). All-in-all...

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Roadmap out now: Propelling the Potential of Enterprise Linked Data in Austria

The PROPEL project – Propelling the Potential of Enterprise Linked Data in Austria – surveyed technological challenges, entrepreneurial opportunities, and open research questions on the use of Linked Data in a business context and developed a roadmap and a set of recommendations for policy makers, industry, and the research community.   Download free copy of the roadmap     Contents: Market Forces Austrian IT Market Impact on Enterprises Data and Information Management Sectoral Analysis of Linked Data Potential Demand-Side Market Analysis Stakeholder Interviews and Workshop...

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Recommended Reading: Linked Data adoption and application within financial business processes

Linked Data (hence LD) is a concept for efficient handling of data, which could be used for dealing with complex data and data structures. It operates on RDF triples, promotes keeping data at the source instead of copying it and allows for (semi-)automated reasoning. Therefore the interest towards applying it in different contexts and case studies increases, as well as the number of initiatives around it on a global scale rises accordingly. LD is framed in the context of the financial services domain as an enabler of a lot of opportunities for optimizing (financial) product rankings, as well...

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